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Price bubbles in Beijing carbon market and environmental policy announcement

Lu, Min; Wang, Xing; Speeckaert, Rosalie

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Authors

Min Lu



Abstract

This paper examines price bubbles in the relatively new carbon emission trading scheme of Beijing carbon market by employing a recently proposed econometric test which can stamp the occurrence and burst of financial bubbles. We find multiple bubbles in Beijing carbon market over the sample period between January 2014 to April 2018, and that the occurrences of carbon price bubbles are closely related to the announcements of environmental policies by the Chinese government. Comparing our results to the EU ETS, we find that the volatility of carbon price in Beijing market is higher than EU, and interestingly, the bubbles in Beijing market occur when the price volatility is relatively low, while in EU market the bubbles correspond to the peaks of volatility. Our empirical results provide insightful policy implications in the context of the actual China’s carbon market reform. To achieve effective stabilization of carbon price, policymakers should publicize alert notifications of the price fluctuations, and strengthen the carbon markets supervision and promote its improvement.

Citation

Lu, M., Wang, X., & Speeckaert, R. (2023). Price bubbles in Beijing carbon market and environmental policy announcement. Communications in Statistics - Simulation and Computation, 52(3), 884-897. https://doi.org/10.1080/03610918.2020.1870696

Journal Article Type Article
Acceptance Date Dec 23, 2020
Online Publication Date Jan 20, 2021
Publication Date 2023
Deposit Date Feb 15, 2021
Publicly Available Date Jan 20, 2022
Journal Communications in Statistics - Simulation and Computation
Print ISSN 0361-0918
Electronic ISSN 1532-4141
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 52
Issue 3
Pages 884-897
DOI https://doi.org/10.1080/03610918.2020.1870696
Public URL https://durham-repository.worktribe.com/output/1252265

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Copyright Statement
This article has been accepted for publication in Communications in Statistics - Simulation and Computation, published by Taylor & Francis.





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